Instructions to use Iftisyed/Distilbertmodelmlm1973 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Iftisyed/Distilbertmodelmlm1973 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Iftisyed/Distilbertmodelmlm1973")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Iftisyed/Distilbertmodelmlm1973") model = AutoModelForMaskedLM.from_pretrained("Iftisyed/Distilbertmodelmlm1973", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 328717045
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b14e7091c50f64d0baeb8d5696519d8b42302cd4ac8d5129afa2881193e9df4a
|
| 3 |
size 328717045
|